<!DOCTYPE html>
<html>
<head><meta name="generator" content="Hexo 3.9.0">
  <meta charset="utf-8">
  
  <meta http-equiv="X-UA-Compatible" content="IE=edge">
  <title>图像识别之灰度，二值化，高斯模糊处理 | Zachary&#39;s blog</title>
  <meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1">
  <meta name="description" content="在图像处理中，灰度和二值化是其他操作的前提。灰度的方式有多种，比较简单的处理就是取RGB平均值，从而使RGBA8888格式的图片转化为了单色道的灰度图，每个像素存储在一个char中而非四个char。高斯模糊，图像处理软件会提供”模糊”（blur）滤镜，使图片产生模糊的效果。”模糊”的算法有很多种，其中有一种叫做”高斯模糊”（Gaussian Blur）。它将正态分布（又名”高斯分布”）用于图像处理">
<meta name="keywords" content="C">
<meta property="og:type" content="article">
<meta property="og:title" content="图像识别之灰度，二值化，高斯模糊处理">
<meta property="og:url" content="http://dontcry2013.github.io/2016/04/26/ocr-gray-binaryzation-blur/index.html">
<meta property="og:site_name" content="Zachary&#39;s blog">
<meta property="og:description" content="在图像处理中，灰度和二值化是其他操作的前提。灰度的方式有多种，比较简单的处理就是取RGB平均值，从而使RGBA8888格式的图片转化为了单色道的灰度图，每个像素存储在一个char中而非四个char。高斯模糊，图像处理软件会提供”模糊”（blur）滤镜，使图片产生模糊的效果。”模糊”的算法有很多种，其中有一种叫做”高斯模糊”（Gaussian Blur）。它将正态分布（又名”高斯分布”）用于图像处理">
<meta property="og:locale" content="en">
<meta property="og:updated_time" content="2019-12-12T03:29:04.170Z">
<meta name="twitter:card" content="summary">
<meta name="twitter:title" content="图像识别之灰度，二值化，高斯模糊处理">
<meta name="twitter:description" content="在图像处理中，灰度和二值化是其他操作的前提。灰度的方式有多种，比较简单的处理就是取RGB平均值，从而使RGBA8888格式的图片转化为了单色道的灰度图，每个像素存储在一个char中而非四个char。高斯模糊，图像处理软件会提供”模糊”（blur）滤镜，使图片产生模糊的效果。”模糊”的算法有很多种，其中有一种叫做”高斯模糊”（Gaussian Blur）。它将正态分布（又名”高斯分布”）用于图像处理">
  
    <link rel="alternative" href="/atom.xml" title="Zachary&#39;s blog" type="application/atom+xml">
  
  
    <link rel="icon" href="/img/favicon.png">
  
  <link rel="stylesheet" href="/css/style.css">
  
<script>
var _hmt = _hmt || [];
(function() {
  var hm = document.createElement("script");
  hm.src = "//hm.baidu.com/hm.js?e907b20dbb2f8d2eb9402532629ec091";
  var s = document.getElementsByTagName("script")[0]; 
  s.parentNode.insertBefore(hm, s);
})();
</script>

</head>
</html>
<body>
  <div id="container">
    <div class="left-col">
    <div class="overlay"></div>
<div class="intrude-less">
	<header id="header" class="inner">
		<a href="/" class="profilepic">
			
			<img lazy-src="/img/litten.png" class="js-avatar">
			
		</a>

		<hgroup>
		  <h1 class="header-author"><a href="/">Zachary</a></h1>
		</hgroup>

		
		<p class="header-subtitle">No pain, no gain</p>
		

		
			<div class="switch-btn">
				<div class="icon">
					<div class="icon-ctn">
						<div class="icon-wrap icon-house" data-idx="0">
							<div class="birdhouse"></div>
							<div class="birdhouse_holes"></div>
						</div>
						<div class="icon-wrap icon-ribbon hide" data-idx="1">
							<div class="ribbon"></div>
						</div>
						
						<div class="icon-wrap icon-link hide" data-idx="2">
							<div class="loopback_l"></div>
							<div class="loopback_r"></div>
						</div>
						
						
						<div class="icon-wrap icon-me hide" data-idx="3">
							<div class="user"></div>
							<div class="shoulder"></div>
						</div>
						
					</div>
					
				</div>
				<div class="tips-box hide">
					<div class="tips-arrow"></div>
					<ul class="tips-inner">
						<li>Menu</li>
						<li>Tags</li>
						
						<li>Links</li>
						
						
						<li>About</li>
						
					</ul>
				</div>
			</div>
		

		<div class="switch-area">
			<div class="switch-wrap">
				<section class="switch-part switch-part1">
					<nav class="header-menu">
						<ul>
						
							<li><a href="/">homepage</a></li>
				        
							<li><a href="/archives">archives</a></li>
				        
						</ul>
					</nav>
					<nav class="header-nav">
						<div class="social">
							
								<a class="github" target="_blank" href="https://github.com/dontcry2013" title="github">github</a>
					        
								<a class="weibo" target="_blank" href="http://weibo.com/u/2278451152" title="weibo">weibo</a>
					        
						</div>
					</nav>
				</section>
				
				
				<section class="switch-part switch-part2">
					<div class="widget tagcloud" id="js-tagcloud">
						<a href="/tags/android/" style="font-size: 14px;">Android</a> <a href="/tags/apache/" style="font-size: 10px;">Apache</a> <a href="/tags/c/" style="font-size: 14px;">C</a> <a href="/tags/css/" style="font-size: 10px;">CSS</a> <a href="/tags/closure/" style="font-size: 10px;">Closure</a> <a href="/tags/command/" style="font-size: 12px;">Command</a> <a href="/tags/es2017/" style="font-size: 14px;">ES2017</a> <a href="/tags/es5/" style="font-size: 18px;">ES5</a> <a href="/tags/es6/" style="font-size: 18px;">ES6</a> <a href="/tags/example/" style="font-size: 10px;">Example</a> <a href="/tags/fiddler/" style="font-size: 10px;">Fiddler</a> <a href="/tags/git/" style="font-size: 12px;">Git</a> <a href="/tags/github/" style="font-size: 14px;">GitHub</a> <a href="/tags/html/" style="font-size: 10px;">HTML</a> <a href="/tags/http/" style="font-size: 10px;">HTTP</a> <a href="/tags/hexo/" style="font-size: 12px;">Hexo</a> <a href="/tags/issue/" style="font-size: 10px;">Issue</a> <a href="/tags/jni/" style="font-size: 10px;">JNI</a> <a href="/tags/java/" style="font-size: 14px;">Java</a> <a href="/tags/mandarin/" style="font-size: 16px;">Mandarin</a> <a href="/tags/markdown/" style="font-size: 10px;">Markdown</a> <a href="/tags/mongodb/" style="font-size: 10px;">MongoDB</a> <a href="/tags/ndk/" style="font-size: 10px;">NDK</a> <a href="/tags/node-js/" style="font-size: 14px;">Node.js</a> <a href="/tags/objective-c/" style="font-size: 10px;">Objective-C</a> <a href="/tags/oracle/" style="font-size: 12px;">Oracle</a> <a href="/tags/php/" style="font-size: 10px;">PHP</a> <a href="/tags/prototype/" style="font-size: 12px;">Prototype</a> <a href="/tags/proxy/" style="font-size: 10px;">Proxy</a> <a href="/tags/react-native/" style="font-size: 10px;">React Native</a> <a href="/tags/sql/" style="font-size: 10px;">SQL</a> <a href="/tags/sublime/" style="font-size: 10px;">Sublime</a> <a href="/tags/todo/" style="font-size: 10px;">TODO</a> <a href="/tags/travis/" style="font-size: 10px;">Travis</a> <a href="/tags/ubuntu/" style="font-size: 10px;">Ubuntu</a> <a href="/tags/webview/" style="font-size: 10px;">Webview</a> <a href="/tags/jquery/" style="font-size: 12px;">jQuery</a> <a href="/tags/prototype/" style="font-size: 10px;">prototype</a> <a href="/tags/碎碎念/" style="font-size: 20px;">碎碎念</a> <a href="/tags/英语/" style="font-size: 10px;">英语</a>
					</div>
				</section>
				
				
				
				<section class="switch-part switch-part3">
					<div id="js-friends">
					
			          <a target="_blank" class="main-nav-link switch-friends-link" href="http://www.thirdtea.com/">三号茶馆</a>
			        
			          <a target="_blank" class="main-nav-link switch-friends-link" href="http://www.jianshu.com/users/c2f3ff613436/latest_articles">猫哥学前班</a>
			        
			        </div>
				</section>
				

				
				
				<section class="switch-part switch-part4">
				
					<div id="js-aboutme">我是谁，我从哪里来，我到哪里去？我就是我，是颜色不一样的吃货…</div>
				</section>
				
			</div>
		</div>
	</header>				
</div>

    </div>
    <div class="mid-col">
      <nav id="mobile-nav">
  	<div class="overlay">
  		<div class="slider-trigger"></div>
  		<h1 class="header-author js-mobile-header hide">Zachary</h1>
  	</div>
	<div class="intrude-less">
		<header id="header" class="inner">
			<div class="profilepic">
			
				<img lazy-src="/img/litten.png" class="js-avatar">
			
			</div>
			<hgroup>
			  <h1 class="header-author">Zachary</h1>
			</hgroup>
			
			<p class="header-subtitle">No pain, no gain</p>
			
			<nav class="header-menu">
				<ul>
				
					<li><a href="/">homepage</a></li>
		        
					<li><a href="/archives">archives</a></li>
		        
		        <div class="clearfix"></div>
				</ul>
			</nav>
			<nav class="header-nav">
				<div class="social">
					
						<a class="github" target="_blank" href="https://github.com/dontcry2013" title="github">github</a>
			        
						<a class="weibo" target="_blank" href="http://weibo.com/u/2278451152" title="weibo">weibo</a>
			        
				</div>
			</nav>
		</header>				
	</div>
</nav>

      <div class="body-wrap"><article id="post-ocr-gray-binaryzation-blur" class="article article-type-post" itemscope itemprop="blogPost">
  
    <div class="article-meta">
      <a href="/2016/04/26/ocr-gray-binaryzation-blur/" class="article-date">
  	<time datetime="2016-04-26T11:43:24.000Z" itemprop="datePublished">2016-04-26</time>
</a>
    </div>
  
  <div class="article-inner">
    
      <input type="hidden" class="isFancy" />
    
    
      <header class="article-header">
        
  
    <h1 class="article-title" itemprop="name">
      图像识别之灰度，二值化，高斯模糊处理
    </h1>
  

      </header>
      
      <div class="article-info article-info-post">
        
	<div class="article-tag tagcloud">
		<ul class="article-tag-list"><li class="article-tag-list-item"><a class="article-tag-list-link" href="/tags/c/">C</a></li></ul>
	</div>

        
	<div class="article-category tagcloud">
	<a class="article-category-link" href="/categories/ocr/">OCR</a>
	</div>


        <div class="clearfix"></div>
      </div>
      
    
    <div class="article-entry" itemprop="articleBody">
      
        <p>在图像处理中，灰度和二值化是其他操作的前提。灰度的方式有多种，比较简单的处理就是取RGB平均值，从而使RGBA8888格式的图片转化为了单色道的灰度图，每个像素存储在一个char中而非四个char。<br>高斯模糊，图像处理软件会提供”模糊”（blur）滤镜，使图片产生模糊的效果。”模糊”的算法有很多种，其中有一种叫做”高斯模糊”（Gaussian Blur）。它将正态分布（又名”高斯分布”）用于图像处理。<br>二值化，设定某个条件将像素转为黑白两种色，这里设置的条件为：是否大于色素平均值再减去40，即buffer_temp[x]&gt;avage_char-40?255:0。<br><a id="more"></a></p>
<figure class="highlight javascript"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br><span class="line">29</span><br><span class="line">30</span><br><span class="line">31</span><br><span class="line">32</span><br><span class="line">33</span><br><span class="line">34</span><br><span class="line">35</span><br><span class="line">36</span><br><span class="line">37</span><br><span class="line">38</span><br><span class="line">39</span><br><span class="line">40</span><br><span class="line">41</span><br><span class="line">42</span><br><span class="line">43</span><br><span class="line">44</span><br><span class="line">45</span><br><span class="line">46</span><br><span class="line">47</span><br><span class="line">48</span><br><span class="line">49</span><br><span class="line">50</span><br><span class="line">51</span><br><span class="line">52</span><br><span class="line">53</span><br><span class="line">54</span><br><span class="line">55</span><br><span class="line">56</span><br><span class="line">57</span><br><span class="line">58</span><br><span class="line">59</span><br><span class="line">60</span><br><span class="line">61</span><br><span class="line">62</span><br><span class="line">63</span><br><span class="line">64</span><br><span class="line">65</span><br><span class="line">66</span><br><span class="line">67</span><br><span class="line">68</span><br><span class="line">69</span><br><span class="line">70</span><br><span class="line">71</span><br><span class="line">72</span><br><span class="line">73</span><br><span class="line">74</span><br><span class="line">75</span><br><span class="line">76</span><br><span class="line">77</span><br><span class="line">78</span><br><span class="line">79</span><br><span class="line">80</span><br><span class="line">81</span><br><span class="line">82</span><br><span class="line">83</span><br><span class="line">84</span><br><span class="line">85</span><br><span class="line">86</span><br><span class="line">87</span><br><span class="line">88</span><br><span class="line">89</span><br><span class="line">90</span><br><span class="line">91</span><br><span class="line">92</span><br><span class="line">93</span><br><span class="line">94</span><br><span class="line">95</span><br><span class="line">96</span><br><span class="line">97</span><br><span class="line">98</span><br><span class="line">99</span><br><span class="line">100</span><br><span class="line">101</span><br><span class="line">102</span><br><span class="line">103</span><br><span class="line">104</span><br><span class="line">105</span><br><span class="line">106</span><br><span class="line">107</span><br><span class="line">108</span><br><span class="line">109</span><br><span class="line">110</span><br><span class="line">111</span><br><span class="line">112</span><br><span class="line">113</span><br><span class="line">114</span><br><span class="line">115</span><br><span class="line">116</span><br><span class="line">117</span><br><span class="line">118</span><br><span class="line">119</span><br><span class="line">120</span><br><span class="line">121</span><br><span class="line">122</span><br><span class="line">123</span><br><span class="line">124</span><br><span class="line">125</span><br><span class="line">126</span><br><span class="line">127</span><br><span class="line">128</span><br><span class="line">129</span><br><span class="line">130</span><br><span class="line">131</span><br><span class="line">132</span><br><span class="line">133</span><br><span class="line">134</span><br><span class="line">135</span><br><span class="line">136</span><br><span class="line">137</span><br><span class="line">138</span><br><span class="line">139</span><br><span class="line">140</span><br><span class="line">141</span><br><span class="line">142</span><br><span class="line">143</span><br><span class="line">144</span><br><span class="line">145</span><br><span class="line">146</span><br></pre></td><td class="code"><pre><span class="line">typedef struct &#123;</span><br><span class="line">    unsigned char * buffer;</span><br><span class="line">    int width;</span><br><span class="line">    int height;</span><br><span class="line">    int charcount;</span><br><span class="line">&#125; IMAGE;</span><br><span class="line"></span><br><span class="line"><span class="comment">//gauss start</span></span><br><span class="line">#define PI 3.14159265</span><br><span class="line"></span><br><span class="line">typedef enum &#123;</span><br><span class="line">    FILTER_AVG,</span><br><span class="line">    FILTER_GAUSS</span><br><span class="line">&#125; filter_type;</span><br><span class="line"></span><br><span class="line">typedef struct &#123;</span><br><span class="line">    int radius;</span><br><span class="line">    double **matrix;</span><br><span class="line">    int type;</span><br><span class="line">&#125; FILTER;</span><br><span class="line"></span><br><span class="line">double gauss_2d(int x, int y, double sigma) &#123;</span><br><span class="line">    double result = <span class="number">1.0</span> / (<span class="number">2</span> * PI * sigma * sigma);</span><br><span class="line">    result *= exp(-(x*x+y*y)/(<span class="number">2</span> * sigma * sigma));</span><br><span class="line">    <span class="keyword">return</span> result;</span><br><span class="line">&#125;</span><br><span class="line"></span><br><span class="line">FILTER *filter_create_gauss(int radius, double sigma) &#123;</span><br><span class="line">    <span class="comment">//Allocate mem for the structure</span></span><br><span class="line">    FILTER *filter = (FILTER*) malloc(sizeof(FILTER));</span><br><span class="line">    filter-&gt;radius = radius;</span><br><span class="line">    filter-&gt;type = FILTER_GAUSS;</span><br><span class="line"></span><br><span class="line">    <span class="comment">//Used for iterations</span></span><br><span class="line">    int i, j;</span><br><span class="line"></span><br><span class="line">    <span class="comment">//The matrix width and height</span></span><br><span class="line">    int dim = <span class="number">2</span>*radius+<span class="number">1</span>;</span><br><span class="line"></span><br><span class="line">    <span class="comment">//Alocate mem for the matrix</span></span><br><span class="line">    filter-&gt;matrix = (double**) malloc(dim * sizeof(double*));</span><br><span class="line">    <span class="keyword">for</span>(i = <span class="number">0</span>; i &lt; dim; i++)</span><br><span class="line">        filter-&gt;matrix[i] = (double*) malloc(dim * sizeof(double));</span><br><span class="line"></span><br><span class="line">    <span class="comment">//Calculate</span></span><br><span class="line">    double sum = <span class="number">0.0</span>;</span><br><span class="line">    <span class="keyword">for</span>(i = -radius; i &lt;= radius; i++)</span><br><span class="line">        <span class="keyword">for</span>(j = -radius; j &lt;= radius; j++) &#123;</span><br><span class="line">            filter-&gt;matrix[i+radius][j+radius] = gauss_2d(j, i, sigma);</span><br><span class="line">            sum += filter-&gt;matrix[i+radius][j+radius];</span><br><span class="line">        &#125;</span><br><span class="line"></span><br><span class="line">    <span class="comment">//Correct so that the sum of all elements ~= 1</span></span><br><span class="line">    <span class="keyword">for</span>(i = <span class="number">0</span>; i &lt; <span class="number">2</span>*radius+<span class="number">1</span>; i++)</span><br><span class="line">        <span class="keyword">for</span>(j = <span class="number">0</span>; j &lt; <span class="number">2</span>*radius+<span class="number">1</span>; j++)</span><br><span class="line">            filter-&gt;matrix[i][j] /= sum;</span><br><span class="line"></span><br><span class="line">    <span class="keyword">return</span> filter;</span><br><span class="line">&#125;</span><br><span class="line"></span><br><span class="line"><span class="keyword">void</span> filter_free(FILTER *filter) &#123;</span><br><span class="line">    <span class="comment">//Free matrix</span></span><br><span class="line">    int dim=<span class="number">2</span>*filter-&gt;radius+<span class="number">1</span>, i;</span><br><span class="line">    <span class="keyword">for</span>(i = <span class="number">0</span>; i &lt; dim; i++)</span><br><span class="line">        free(filter-&gt;matrix[i]);</span><br><span class="line">    free(filter-&gt;matrix);</span><br><span class="line"></span><br><span class="line">    <span class="comment">//Free filter</span></span><br><span class="line">    free(filter);</span><br><span class="line">&#125;</span><br><span class="line"></span><br><span class="line"><span class="keyword">void</span> apply_to_pixel(int x, int y,unsigned char* original,unsigned char *result, FILTER *filter,int width,int height) &#123;</span><br><span class="line"></span><br><span class="line">    <span class="keyword">if</span>(x&lt;filter-&gt;radius || y&lt;filter-&gt;radius || x&gt;=width-filter-&gt;radius || y&gt;=height-filter-&gt;radius) &#123;</span><br><span class="line">        result[width*y+x] = original[width*y+x];</span><br><span class="line">        <span class="keyword">return</span>;</span><br><span class="line">    &#125;</span><br><span class="line"></span><br><span class="line">    int i, j;</span><br><span class="line">    unsigned char res = <span class="number">0</span>;</span><br><span class="line">    double fil;</span><br><span class="line"></span><br><span class="line">    <span class="keyword">for</span>(i = -filter-&gt;radius; i &lt;= filter-&gt;radius; i++)</span><br><span class="line">        <span class="keyword">for</span>(j = -filter-&gt;radius; j &lt;= filter-&gt;radius; j++) &#123;</span><br><span class="line">            fil = filter-&gt;matrix[i+filter-&gt;radius][j+filter-&gt;radius];</span><br><span class="line">            res += fil * original[ (y+i)*width+x+j];</span><br><span class="line">        &#125;</span><br><span class="line"></span><br><span class="line">    result[width*y+x] = res;</span><br><span class="line">&#125;</span><br><span class="line"></span><br><span class="line">unsigned char * apply_gauss_filter(unsigned char* original,int w,int h,FILTER* filter)&#123;</span><br><span class="line">    unsigned char * result = (unsigned char*)malloc(w*h);</span><br><span class="line">    int x, y;</span><br><span class="line">    <span class="keyword">for</span>(y = <span class="number">0</span>; y &lt; h ; y++)</span><br><span class="line">        <span class="keyword">for</span>(x = <span class="number">0</span>; x &lt; w; x++)</span><br><span class="line">            apply_to_pixel(x, y, original, result, filter,w,h);</span><br><span class="line">    <span class="keyword">return</span> result;</span><br><span class="line">&#125;</span><br><span class="line"></span><br><span class="line"><span class="keyword">static</span> FILTER* filter = NULL;</span><br><span class="line"></span><br><span class="line">unsigned char* gauss(unsigned char* image, int width ,int height)&#123;</span><br><span class="line">    <span class="keyword">if</span>(filter==NULL)&#123;</span><br><span class="line">        filter = filter_create_gauss(<span class="number">2</span>, <span class="number">1</span>);</span><br><span class="line">    &#125;</span><br><span class="line">    unsigned char* result = apply_gauss_filter(image,width,height,filter);</span><br><span class="line">    <span class="keyword">return</span> result;</span><br><span class="line">&#125;</span><br><span class="line"><span class="comment">//gauss end</span></span><br><span class="line"></span><br><span class="line">IMAGE prepare(unsigned char* buffer,int width,int height) &#123;</span><br><span class="line">    IMAGE image;</span><br><span class="line"></span><br><span class="line">    unsigned char* buffer_temp;</span><br><span class="line">    int length = width*height;</span><br><span class="line">    int x;</span><br><span class="line"></span><br><span class="line">    <span class="comment">//灰度</span></span><br><span class="line">    buffer_temp = (unsigned char*)malloc(length);</span><br><span class="line">    unsigned char* p;</span><br><span class="line">    double avage = <span class="number">0</span>;</span><br><span class="line">    <span class="keyword">for</span>(x = <span class="number">0</span> ; x &lt; length ; x ++)&#123;</span><br><span class="line">        p = buffer+x*<span class="number">4</span>;</span><br><span class="line">        float v = (p[<span class="number">0</span>] + p[<span class="number">1</span>] + p[<span class="number">2</span>])/<span class="number">3.0</span>f;</span><br><span class="line">        avage = avage + v;</span><br><span class="line">        buffer_temp[x] = (unsigned char)v;</span><br><span class="line">    &#125;</span><br><span class="line">    avage = avage/length;</span><br><span class="line"></span><br><span class="line">    <span class="comment">//高斯模糊</span></span><br><span class="line">    unsigned char* result = gauss(buffer_temp, width ,height);</span><br><span class="line">    free((<span class="keyword">void</span>*)buffer_temp);</span><br><span class="line">    buffer_temp = result;</span><br><span class="line"></span><br><span class="line">    <span class="comment">//二值化</span></span><br><span class="line">    unsigned char avage_char = (unsigned char)avage;</span><br><span class="line">    <span class="keyword">for</span>(x = <span class="number">0</span> ; x &lt; length ; x ++)&#123;</span><br><span class="line">        buffer_temp[x] = buffer_temp[x]&gt;avage_char<span class="number">-40</span>?<span class="number">255</span>:<span class="number">0</span>;</span><br><span class="line">    &#125;</span><br><span class="line"></span><br><span class="line">    image.buffer = buffer_temp;</span><br><span class="line">    image.width = width;</span><br><span class="line">    image.height = height;</span><br><span class="line">    <span class="keyword">return</span> image;</span><br><span class="line">&#125;</span><br></pre></td></tr></table></figure>
<p>参考：<br><a href="http://www.ruanyifeng.com/blog/2012/11/gaussian_blur.html" target="_blank" rel="noopener">高斯模糊的算法</a><br><a href="http://blog.csdn.net/markl22222/article/details/10313565" target="_blank" rel="noopener">高斯模糊算法的实现和优化</a></p>

      
    </div>
    
  </div>
  
    
<nav id="article-nav">
  
    <a href="/2016/04/29/pointer/" id="article-nav-newer" class="article-nav-link-wrap">
      <strong class="article-nav-caption"><</strong>
      <div class="article-nav-title">
        
          函数指针和指针函数
        
      </div>
    </a>
  
  
    <a href="/2016/04/22/ocr-android-bitmap/" id="article-nav-older" class="article-nav-link-wrap">
      <div class="article-nav-title">图像识别之jni返回图片到java</div>
      <strong class="article-nav-caption">></strong>
    </a>
  
</nav>

  
</article>


<div class="share_jia">
	<!-- JiaThis Button BEGIN -->
	<div class="jiathis_style">
		<span class="jiathis_txt">Share to: &nbsp; </span>
		<a class="jiathis_button_facebook"></a> 
    <a class="jiathis_button_twitter"></a>
    <a class="jiathis_button_plus"></a> 
    <a class="jiathis_button_tsina"></a>
		<a class="jiathis_button_cqq"></a>
		<a class="jiathis_button_douban"></a>
		<a class="jiathis_button_weixin"></a>
		<a class="jiathis_button_tumblr"></a>
    <a href="http://www.jiathis.com/share" class="jiathis jiathis_txt jtico jtico_jiathis" target="_blank"></a>
	</div>
	<script type="text/javascript" src="http://v3.jiathis.com/code/jia.js?uid=1405949716054953" charset="utf-8"></script>
	<!-- JiaThis Button END -->
</div>






<div class="duoshuo">
	<!-- 多说评论框 start -->
	<div class="ds-thread" data-thread-key="ocr-gray-binaryzation-blur" data-title="图像识别之灰度，二值化，高斯模糊处理" data-url="http://dontcry2013.github.io/2016/04/26/ocr-gray-binaryzation-blur/"></div>
	<!-- 多说评论框 end -->
	<!-- 多说公共JS代码 start (一个网页只需插入一次) -->
	<script type="text/javascript">
	var duoshuoQuery = {short_name:"true"};
	(function() {
		var ds = document.createElement('script');
		ds.type = 'text/javascript';ds.async = true;
		ds.src = (document.location.protocol == 'https:' ? 'https:' : 'http:') + '//static.duoshuo.com/embed.js';
		ds.charset = 'UTF-8';
		(document.getElementsByTagName('head')[0] 
		 || document.getElementsByTagName('body')[0]).appendChild(ds);
	})();
	</script>
	<!-- 多说公共JS代码 end -->
</div>




</div>
      <footer id="footer">
  <div class="outer">
    <div id="footer-info">
    	<div class="footer-left">
    		&copy; 2019 Zachary
    	</div>
      	<div class="footer-right">
      		<a href="http://hexo.io/" target="_blank">Hexo</a>  Theme <a href="https://github.com/litten/hexo-theme-yilia" target="_blank">Yilia</a> by Litten
      	</div>
    </div>
  </div>
</footer>
    </div>
    
  <link rel="stylesheet" href="/fancybox/jquery.fancybox.css">


<script>
	var yiliaConfig = {
		fancybox: true,
		mathjax: true,
		animate: true,
		isHome: false,
		isPost: true,
		isArchive: false,
		isTag: false,
		isCategory: false,
		open_in_new: false
	}
</script>
<script src="http://7.url.cn/edu/jslib/comb/require-2.1.6,jquery-1.9.1.min.js"></script>
<script src="/js/main.js"></script>






<script type="text/x-mathjax-config">
MathJax.Hub.Config({
    tex2jax: {
        inlineMath: [ ['$','$'], ["\\(","\\)"]  ],
        processEscapes: true,
        skipTags: ['script', 'noscript', 'style', 'textarea', 'pre', 'code']
    }
});

MathJax.Hub.Queue(function() {
    var all = MathJax.Hub.getAllJax(), i;
    for(i=0; i < all.length; i += 1) {
        all[i].SourceElement().parentNode.className += ' has-jax';                 
    }       
});
</script>

<script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML">
</script>


  </div>
</body>
</html>